Health and wellness monitoring through wearable and ambient sensors: exemplars from home-based care of elderly with mild dementia

Biswas, Jit; Tolstikov, Andrei; Jayachandran, M.; Foo, Victor; Wai, Aung Aung Phyo; Phua, Clifton; Huang, Weimin; Li, Shue; Gopalakrishnan, Kailash; Lee, Jer-En; Yap, Philip

doi:10.1007/s12243-010-0176-0

Cited by 33 publications

(25 citation statements)

References 8 publications

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“…Home modifications may also have a place for some people, and participants in this study described modification of home appliances such as ovens to minimize the risk of fire for their clients. In home, monitoring and wearable sensor devices may also have a role (Biswas et al, 2010). However as with other types of assistive technologies, the effectiveness of surveillance strategies to help support the safety of people with dementia has yet to be established.…”

Section: Living Safely At Home Alonementioning

confidence: 99%

Home Alone With Dementia

2016

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The aim of this qualitative exploratory study was to investigate community care clinicians' perceptions of the challenges faced by people who have dementia and live alone at home. Data were collected through interviews and focus groups with 21 community health and social care clinicians who supported people with dementia in the community. The perceived challenges that were identified related to poor hygiene, inadequate nutrition, keeping safe, other health problems, managing money, coping with technology, and lack of support. Although the findings only represent the perspective of clinicians and so tend to focus on clinical issues, they nonetheless resonate with previous research demonstrating that the issues have persisted for at least two decades. There are a number of implications arising from these perceptions related to a person with dementia's potential capacity to care for their health, interact safely with other people, and live at home alone. As the severity of cognitive impairment increases, their ability to care for their health and well-being will be compromised. This highlights the importance of community care clinicians being engaged in the early detection of this population and the establishment of supportive routines. These issues will likely to be of international interest, as many countries are facing the challenge of providing community-based care for an increasing number of older people with dementia. However, providing this type of dementia care for people who live alone has received little attention in the literature, and problems remain with meeting the practical challenges faced by this vulnerable population.

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Section: Living Safely At Home Alonementioning

confidence: 99%

Home Alone With Dementia

2016

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“…[19] Solutions have been also proposed to monitor health and wellness through wearable and ambient sensors. [20,21] From the user perspective and with the goal of empower patients and, more generally, users, a lot of systems and mobile apps have been currently available to monitor mobility and/or sleep quality. The majority of them rely on wearable sensors, such as bracelets or smart-watches.…”

Section: Related Workmentioning

confidence: 99%

Experimenting quality of life telemonitoring in a real scenario

Vargiu¹,

Rafael-Palou²,

Miralles³

2015

AIR

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In the last decades, the worldwide growth and adoption of eHealth solutions has impacted life expectancy and improved quality of life, especially of people living in developed countries. One key common feature of all those novel eHealth solutions is telemonitoring, which makes possible to remotely assess health status and quality of life of individuals. Telemonitoring systems usually acquire heterogeneous data coming from sensors (physiological, biometric, environmental; wearable, non-invasive, adaptive and transparent to user) and other sources (e.g., interaction with the user through digital services). By analyzing those data, systems become aware of user context and are able to automatically infer user's behavior as well as detect anomalies. In that way, they provide elaborated and smart knowledge to clinicians, therapists, carers, families, and the patients themselves. In this paper, we present a solution aimed at automatically assessing quality of life of people. The goal is twofold: to provide support to people in need of assistance and to inform therapists, carers and families about the improvement/worsening of quality of life of monitored people. The paper presents first experiments that have been performed in Barcelona to automatically assess MOBILITY, SLEEPING and MOOD of a body-abled user. Since results show that the approach is effective in that scenario, the system has been then installed and it is currently running at three homes of people with severe disabilities.

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“…Activities of daily living (Wood et al, 2008) • Safety (Lee et al, 2008) • Location determination (Kelly et al, 2008) • Gait velocity (Hagler et al, 2010, Hayes et al, 2009) • Cognition/dementia (Biswas et al, 2010) • Ambient sensors can also be used to provide inputs into actuators or other forms of integrated systems. Pressure sensors can be used in a bedroom to detect when someone exits their bed.…”

Section: Ambient Sensingmentioning

confidence: 99%

Sensor Deployments for Home and Community Settings

McGrath¹,

Scanaill²

2013

Sensor Technologies

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In this chapter, we will outline the methodologies that have been successfully developed and utilized by Intel and Technology Research for Independent Living (TRIL) Centre researchers in the design, implementation, deployment, management, and analysis of home-and community-based research pilots. Translating research from the confines of the laboratory to real-world environments of community clinics and people's homes is challenging. However, when successful, applying that research correctly can deliver meaningful benefits to both patients and clinicians. Leveraging the expertise of multidisciplinary teams is vital to ensuring that all issues are successfully captured and addressed during the project life cycle. Additionally, the end user must be the center of focus during both the development and evaluation phases. Finally, the trial must generate data and results that are sufficiently robust to withstand rigorous review by clinical and scientific experts. This is vital if any new technology solution is to be successful adopted for clinical use. Note ■The TRIL Centre is a large-scale collaboration between Intel and research teams at University College Dublin (UCD), Trinity College Dublin (TCD), National University of Ireland (NUI) Galway, and St James's Hospital in Dublin. It is a multidisciplinary research center focused on discovering how technology can be used to facilitate older people living independent lives in the location of their choice. TRIL research encompasses identifying, understanding, and accurately measuring clinical variables to predict health, prevent decline, and promote well-being and independence. The driving principles are to facilitate the measurement of critical clinical variables and test technology-enabled clinical assessments and interventions in a nonclinical environment, with validation in both environments. This is combined with a technology design and development process that is person-centered and informed by ethnographic research. Many of the insights presented in this chapter were collected during the course of TRIL research activities. The case studies outlined were carried out collaboratively by Intel and TRIL researchers.You can find additional information at www.trilcentre.org. Healthcare Domain ChallengesTechnology is used during the course of everyday practice in hospital clinics to identify and measure the extent of gait issues, cardiovascular health, sensory impairments, cognitive function, and so on. However, technologies are rarely used in community settings for a variety of reasons, including cost, usability, and the necessity for specialized

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Health and wellness monitoring through wearable and ambient sensors: exemplars from home-based care of elderly with mild dementia

Cited by 33 publications

References 8 publications

Home Alone With Dementia

Home Alone With Dementia

Experimenting quality of life telemonitoring in a real scenario

Sensor Deployments for Home and Community Settings

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